Skip to main navigation Skip to search Skip to main content

Design the Feature Extraction for Real Time Inspection of Welding Quality

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

The objective of this study is to design the feature extraction (time-frequency domain analysis) for detecting the mock-up weld defects (normal, porosity, irregular weld bead, and incomplete filling groove) in real-time at GMAW. Welch algorithm was implemented and improved for welding quality inspection by dividing into six frequency bands with a satisfactory sample size (512 samples/second). Frequency band 2 (frequency ranges 26-52 Hz) was selected for designing the internet of things (IoT) welding embedded system by proving the most sensitive to detect the mock-up weld defects.

Original languageEnglish
Title of host publicationTIMES-iCON 2018 - 3rd Technology Innovation Management and Engineering Science International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538675731
DOIs
Publication statusPublished - 2 Jul 2018
Event3rd Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2018 - Bangkok, Thailand
Duration: 12 Dec 201814 Dec 2018

Publication series

NameTIMES-iCON 2018 - 3rd Technology Innovation Management and Engineering Science International Conference

Conference

Conference3rd Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2018
Country/TerritoryThailand
CityBangkok
Period12/12/1814/12/18

Keywords

  • feature extraction
  • gas metal arc welding (GMAW)
  • internet of things
  • welding quality inspection

Fingerprint

Dive into the research topics of 'Design the Feature Extraction for Real Time Inspection of Welding Quality'. Together they form a unique fingerprint.

Cite this